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This paper is in the following e-collection/theme issue:

Design and Evaluation of Patient Education Materials (137) Consumer & Patient Education and Shared-Decision Making (951) Usability of Apps and User Perceptions of mHealth (1260) Chatbots and Conversational Agents (805) Artificial Intelligence (2441)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47913, first published .
Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study

Authors of this article:

Marina Beyeler1, 2 Author Orcid Image ;   Corinne Légeret3 Author Orcid Image ;   Fabian Kiwitz4, 5 Author Orcid Image ;   Klazine van der Horst1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Atwal K. Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence. Nutrition in Clinical Practice 2024;39(4):736 View
  2. Sosa-Holwerda A, Park O, Albracht-Schulte K, Niraula S, Thompson L, Oldewage-Theron W. The Role of Artificial Intelligence in Nutrition Research: A Scoping Review. Nutrients 2024;16(13):2066 View
  3. Humayun A, Madawana A, Hassan A, Mahmud A, Kamaruddin N, Noor S, Noor S, Awang Nawi M, Mathew M. Artificial intelligence as a predictive tool for mental health status: Insights from a systematic review and meta-analysis. PLOS One 2025;20(9):e0332207 View
  4. Bayram H, Ozturkcan A. Applications of generative and predictive AI in nutrition and dietetics: a narrative review. Informatics for Health and Social Care 2025;50(3-4):133 View
  5. Ngo K, Mekhail S, Chan V, Li X, Yin A, Choi H, Allman-Farinelli M, Chen J. The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature. Nutrients 2025;17(22):3515 View
  6. Abdelwahab A, Aboraiah M, Elsayed H. Effect of using artificial intelligence chatbot about electronic fetal monitoring on maternity nursing students’ performance. BMC Medical Education 2025;26(1) View
  7. Pushparaj P, Mohan L, Ambikalekshmi A, Cherian E, Rajan R, Kumar N. AI and IoT in Nutritional Science: Transforming Digestion Research and Precision Nutrition. Current Research in Nutrition and Food Science Journal 2026;1(14):72 View
  8. Wei S, Wei W, Zou G. Digital affordances of AI chatbots in nursing education: a systematic review of learning gains and gaps in the evidence. Frontiers in Medicine 2026;13 View
  9. Brar K, Chattha I, Gobraeil S, Mocanu V, Corcelles R, Kroh M, Shin T, Dang J, Lee Y. Applications of artificial intelligence along the perioperative pathway in metabolic and bariatric surgery. Surgery for Obesity and Related Diseases 2026 View

Books/Policy Documents

  1. Hendi N, Abouelmagd M, Sharkawy A, Jasim E, Amin A. Feeding the Mind: The Connection Between Diet, Drugs, and Mental Health Volume 2. View